Abstract. Nowadays all links of the entire supply chain need to integrate their different infrastructures and they have better control of them to drive better profits. This integration should offer the ability for companies in order to have an overall and transparent insight to its supply chain activities. An intelligent supply chain which is mainly supported by Smart Items technology can satisfy the need of those integration. By means of Smart Items, a company can benefit some advantages. Those are cost reduction and value creation. However, currently there is no comprehensive Smart Item infrastructure exists yet so it is difficult to calculate the true benefit information. This paper attempts to recommend a model for estimating the benefits of implementing Smart Items in a company which has an integrated supply chain process. The integrated supply chain means that three echelons (supplier, shipper and retailer) of supply chain are belonged to a company. The proposed model was used to determine the shrinkage value and RFID tag price which can give the maximum benefit of Smart Items implementation. A numerical example is also provided to give a better comprehension on model calculation.
Surface grinding is the finishing process that needs high smoothness and precision. This process's main demands are precise, roughness, and not burnt. This analysis purposed to know the most influential variable for the roughness and precision of a product. This analysis is also carried out to determine roughness and accuracy that can be achieved using the Okamoto Grind-X ACC84ST machine. The variables used for this analysis are the depth of cut, feeding, and cycle per feed. Every variable has three levels. DIN CK-45 material is selected to be specimen because it is usually used by the manufacturing and automotive industries to make the main product. The Taguchi method is used to reduce the time and number of experiments conducted to obtain more accurate data. The most influential variable for roughness is cycle per feed, while the most significant variable for precision is the depth of cut. The roughness that can be achieved using the Okamoto Grind-X ACC84ST machine is in the range of 0,075 μm (N3) to 0,175 μm (N4). Size deviations that occurred in this study ranged from -0,007 mm to 0,005 mm.
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